Triple

T7841627
Position Surface form Disambiguated ID Type / Status
Subject Walloon Brabant E181816 entity
Predicate hasMunicipality P847 FINISHED
Object Lasne E189049 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lasne | Statement: [Walloon Brabant, hasMunicipality, Lasne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lasne
Context triple: [Walloon Brabant, hasMunicipality, Lasne]
  • A. Lasne chosen
    Lasne is a picturesque, affluent municipality in Walloon Brabant, Belgium, known for its rural character and high quality of life.
  • B. Liozna
    Liozna is a small settlement in present-day Belarus historically known as the birthplace of the artist Marc Chagall.
  • C. Lesja
    Lesja is a rural municipality in Innlandet county, Norway, known for its mountainous landscapes, agriculture, and outdoor recreation opportunities.
  • D. Malinska
    Malinska is a coastal resort town and popular tourist destination on the island of Krk in Croatia, known for its beaches and Mediterranean atmosphere.
  • E. Lübars
    Lübars is a historic, village-like district in Berlin’s Reinickendorf borough, known for its rural character, fields, and preserved traditional architecture within the city.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb14c6cbe48190b73df491de1004c3 completed March 31, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5ad44ff081908954395aef6ac78b completed March 31, 2026, 5:25 a.m.
Created at: March 30, 2026, 4:47 p.m.